Question 1

What does this MAI-Code-1-Flash vs GPT-5.2 Codex comparison cover?

Accepted Answer

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

Question 2

Which is cheaper: MAI-Code-1-Flash or GPT-5.2 Codex?

Accepted Answer

The available pricing does not establish a comparable input and output token rate for both models. Check the billing unit and selected host in each profile. Images, speech, video and local inference can have different cost structures.

Question 3

Which has the larger context window: MAI-Code-1-Flash or GPT-5.2 Codex?

Accepted Answer

MAI-Code-1-Flash lists 256K tokens and GPT-5.2 Codex lists 400K. GPT-5.2 Codex therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: MAI-Code-1-Flash or GPT-5.2 Codex?

Accepted Answer

There is no matched speed measurement for both models with the same source, host, region and date. Test the same prompts at your expected concurrency and measure time to the first useful response as well as complete task time.

Question 5

What input and output types do MAI-Code-1-Flash and GPT-5.2 Codex support?

Accepted Answer

MAI-Code-1-Flash records text input and text output. GPT-5.2 Codex records text, image, pdf input and text output. “Not documented” means the current source record is incomplete; it does not prove that a modality is unsupported.

Question 6

Should I choose MAI-Code-1-Flash or GPT-5.2 Codex?

Accepted Answer

Consider GPT-5.2 Codex if you need larger context. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Specification	MAI-Code-1-Flash	GPT-5.2 Codex
Provider	Microsoft	OpenAI
Listed pricing route	Microsoft	OpenAI
Model family	mai	gpt-codex
Accepted inputs	text	text, image, pdf
Produced outputs	text	text
Context window	256K	400KHigher
Max output	128K	128K
Input price / 1M	—	$1.75
Output price / 1M	—	$14.00
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Not documented	Documented
Audio input	Not documented	Not documented
Structured output	Documented	Documented
License	Proprietary	Proprietary

MAI-Code-1-Flash vs GPT-5.2 Codex

MAI-Code-1-Flash

GPT-5.2 Codex

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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